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http://stackoverflow.com/questions/35257305/mongoengine-is-very-slow-on-large-documents-comapred-to-native-pymongo-usage Example using Embeded documents
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import datetime | |
import itertools | |
import random | |
import sys | |
import timeit | |
from collections import defaultdict | |
import mongoengine as db | |
from pycallgraph.output.graphviz import GraphvizOutput | |
from pycallgraph.pycallgraph import PyCallGraph | |
db.connect("test-dicts") | |
class Data(db.EmbeddedDocument): | |
subf0 = db.ListField(db.IntField()) | |
subf1 = db.ListField(db.IntField()) | |
subf2 = db.ListField(db.IntField()) | |
subf3 = db.ListField(db.IntField()) | |
subf4 = db.ListField(db.IntField()) | |
class MyDictModel(db.Document): | |
date = db.DateTimeField(required=True, default=datetime.date.today) | |
data_dict_1 = db.DictField() | |
class MyEmbedModel(db.Document): | |
date = db.DateTimeField(required=True, default=datetime.date.today) | |
data_dict_1 = db.EmbeddedDocumentField(Data) | |
MyDictModel.drop_collection() | |
MyEmbedModel.drop_collection() | |
data = ["subf{}".format(f) for f in range(5)] | |
m_dict = MyDictModel() | |
my_dict = dict([(d, list(random.sample(range(50000), 20000))) for d in data]) | |
m_dict.data_dict_1 = my_dict | |
m_dict.save() | |
m_embed = MyEmbedModel() | |
my_data = Data() | |
for f in data: | |
my_data[f] = list(random.sample(range(50000), 20000)) | |
m_embed.data_dict_1 = my_data | |
m_embed.save() | |
def pymongo_dict_doc(): | |
return db.connection.get_connection()["test-dicts"]['my_dict_model'].find_one() | |
def pymongo_embed_doc(): | |
return db.connection.get_connection()["test-dicts"]['my_embed_model'].find_one() | |
def mongoengine_dict_doc(): | |
return MyDictModel.objects.first() | |
def mongoengine_embed_doc(): | |
return MyEmbedModel.objects.first() | |
if __name__ == '__main__': | |
print("pymongo with dict took {:2.2f}s".format(timeit.timeit(pymongo_dict_doc, number=10))) | |
print("pymongo with embed took {:2.2f}s".format(timeit.timeit(pymongo_embed_doc, number=10))) | |
print("mongoengine with dict took", timeit.timeit(mongoengine_dict_doc, number=10)) | |
print("mongoengine with embed took", timeit.timeit(mongoengine_embed_doc, number=10)) | |
out1 = GraphvizOutput() | |
out1.output_file = "viz_embed.png" | |
out2 = GraphvizOutput() | |
out2.output_file = "viz_dict.png" | |
with PyCallGraph(output=out1): | |
mongoengine_embed_doc() | |
with PyCallGraph(output=out2): | |
mongoengine_dict_doc() |
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